Triple

T8989192
Position Surface form Disambiguated ID Type / Status
Subject Most Expensivest E214745 entity
Predicate firstAiredOnChannel P16461 FINISHED
Object Viceland E772093 NE FINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Viceland | Statement: [Most Expensivest, firstAiredOnChannel, Viceland]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Viceland
Context triple: [Most Expensivest, firstAiredOnChannel, Viceland]
  • A. Viceland chosen
    Viceland was a cable television channel owned by Vice Media that focused on edgy, youth-oriented documentary and lifestyle programming.
  • B. Bounce TV
    Bounce TV is an American digital multicast television network primarily targeting African American audiences with a mix of movies, original series, and syndicated programming.
  • C. The Vine
    The Vine is a public transit service brand used by C-TRAN for its bus and related transportation services in the Vancouver, Washington area.
  • D. VH1
    VH1 is an American cable television network known for music-related programming and pop culture reality shows.
  • E. La Quinta Channel
    La Quinta Channel is a deep-draft shipping channel in the Corpus Christi, Texas area that serves industrial and port facilities along the Gulf Coast.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69ca839f76bc8190a4b7123cdd682199 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc687205c88190a4cdf12ee2cdfd14 completed April 1, 2026, 12:36 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfdb92ebf4819092b7ee94af16064b completed April 3, 2026, 3:24 p.m.
Created at: March 30, 2026, 7:04 p.m.